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Measuring educational inequality of opportunity: pupil’s effort matters

Author

Listed:
  • M. Niaz Asadullah

    (UM - University of Malaya = Universiti Malaya [Kuala Lumpur, Malaisie])

  • Alain Trannoy

    (AMSE - Aix-Marseille Sciences Economiques - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique)

  • Sandy Tubeuf

    (IRSS - Institut de recherche santé et société [Louvain, Belgium] - UCL - Université Catholique de Louvain = Catholic University of Louvain, UCL IRES - Institut de recherches économiques et sociales - UCL - Université Catholique de Louvain = Catholic University of Louvain)

  • Gaston Yalonetzky

    (University of Leeds)

Abstract

The distinction between effort and other factors, such as family background, matters for correcting policies and normative reasons when we appeal to inequality of opportunity. We take advantage of a purposefully designed survey on secondary schools in rural Bangladesh to offer a comprehensive view of the importance of overall effort when measuring inequalities of opportunity in education. The analysis comprises decomposition exercises of the predicted variance of student performance in mathematics and English by source (effort, circumstances, etc.) and subgroup (within- and between-schools) based on parametric estimates of educational production functions. Pupils' effort, preferences, and talents contribute between 31% and 40% of the total predicted variances in performance scores. The contribution of overall effort falls by 10% when the correlation between effort and circumstances is taken into account. These findings are robust to the choice of estimation strategy (i.e. combined within- and between-schools variation models versus multilevel random-effect models). All in all, these results advocate that social determinism in education can be mitigated by individual effort at school.

Suggested Citation

  • M. Niaz Asadullah & Alain Trannoy & Sandy Tubeuf & Gaston Yalonetzky, 2021. "Measuring educational inequality of opportunity: pupil’s effort matters," Post-Print hal-03117492, HAL.
  • Handle: RePEc:hal:journl:hal-03117492
    DOI: 10.1016/j.worlddev.2020.105262
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    Cited by:

    1. Tomoki Fujii & Christine Ho & Rohan Ray & Abu S. Shonchoy, 2025. "Boosting Study Habits with High-Frequency Information: A Field Experiment to Aid Disadvantaged Students," Working Papers 2501, Florida International University, Department of Economics.
    2. Zheng, Lei & Qi, Xiang & Zhang, Chongjiu, 2023. "Can improvements in teacher quality reduce the cognitive gap between urban and rural students in China?," International Journal of Educational Development, Elsevier, vol. 100(C).
    3. David Pérez-Mesa & à ngel S. Marrero, 2024. "Adult health and inequality of opportunity in Spain," Working Papers 671, ECINEQ, Society for the Study of Economic Inequality.
    4. Bayas, Alejandro & Grau, Nicolás, 2023. "Inequality of opportunity in juvenile crime and education," International Journal of Educational Development, Elsevier, vol. 103(C).
    5. Bao, Te & Yuan, Yuemei & Luo, Weidong & Xu, Bin, 2024. "Unlucky to have brothers: Sibling sex composition and girls’ locus of control," World Development, Elsevier, vol. 173(C).
    6. Xu, Sijia & Shonchoy, Abu S. & Fujii, Tomoki, 2022. "Assessing gender parity in intrahousehold allocation of educational resources: Evidence from Bangladesh," World Development, Elsevier, vol. 151(C).
    7. Priya, Pragati & Sharma, Chandan & Jha, Chandan Kumar, 2025. "Asymmetry in the inequality of opportunity in energy consumption across gender, caste, and religion in India," Energy Economics, Elsevier, vol. 141(C).
    8. Anis Ochi & Yosra Saidi, 2022. "Do Tunisian Children Have an Equal Chance to Access to School 8 Years After Revolution?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2007-2029, September.

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    Keywords

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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